Your autonomous AI might get you in jail. Even if you gave it legal guidelines.
The only thing that makes the act of hacking legal, is an authorized scope.
Mistakes against the scope may result in severe damages, financial losses and prosecution.
You are liable for the models you run. A single hallucination can ruin your career.
In the example, the model thinks the system decodes the URL and moves up a directory, which would make it in scope. However, most systems will not do this.
Here's what EVERYONE using autonomous AI for testing should do:
โฆฟ ๐๐๐ญ๐๐ค๐๐๐ฉ ๐ฒ๐จ๐ฎ๐ซ ๐๐: Run all traffic through a VPN or proxy that blocks requests that aren't in-scope
โฆฟ ๐๐๐ฏ๐ข๐๐ฐ ๐ฅ๐ข๐๐๐ข๐ฅ๐ข๐ญ๐ฒ: talk to your insurer about model risk and check your customer contracts
โฆฟ ๐๐ฎ๐๐ข๐ญ ๐ญ๐ก๐ ๐๐ ๐๐ง๐ญ: Log and monitor the thinking patterns of your agent, not only its traffic!
Bug bounty platforms like Intigriti help companies create crystal clear scopes which significantly reduce room for error.
Better be safe than sorry!
#BugBounty #Pentesting #EthicalHacking #ArtificialIntelligence #AI #LLM
Bug bounty platforms should avoid using URL paths to define scope, like:
"https://acme.org/staging/*"
Path-based scope creates ambiguity around normalization, encoding, redirects, proxy behavior, framework routing, and CDN/backend differences.
Use dedicated vhosts or subdomains instead:
"https://staging.acme.org/*"
That gives humans and tooling a much cleaner boundary.
Raw prefix matching is not scope validation.
A human pentester (like me) would have a hard time with this scope also. Example:
https://acme.org/staging/../prod (without url encoding) Apr 27 2 likes